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Detalles bibliogr�ficos

T�tulo: Engineering Design: A Project-Based Introduction
Editor: Wiley
Fecha de publicaci�n: 2003
Idioma: Ingl�s
ISBN 10: 0471256870
ISBN 13: 9780471256878
Encuadernaci�n: Trade paperback
Edici�n: 2nd Revised ed.
Estado: Fine.

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Sinopsis

Introduces conceptual design methods and project management tools through description, example, and case study. Two design projects are consistently drawn upon to illustrate the design methods and management tools. Also covers important topic of reporting the results of a design project and provides useful insights into team behaviors and dynamics.
* Enhanced coverage of communications and decision-making techniques.
* Introduces conceptual design tools like objectives trees, morphological charts, and requirement matrices.
* Covers project management tools, including work breakdown structures, Gantt charts, and project control tools.

De la contraportada

With Clive Dym and Patrick Little s project-based approach to engineering design, you ll learn how to work effectively on teams and apply conceptual design methods and project management tools to client-initiated design projects while working effectively on a design team.

Throughout, the text consistently draws upon two design project to illustrate these methods and tools, and the types of work you re likely to encounter in your future professional career. The book also details the means of reporting the results of a design project, provides useful insights into team behaviors and dynamics, and discusses ethics in engineering practice.

Now updated and revised, the Second Edition features a new introduction to the design process (including a short case study in Chapter 2), more material on documenting design, revised coverage of design decision making, and new coverage of design for quality and design for sustainability (i.e., green engineering ).

You ll learn how to:

Ask a client about objectives and translate them into functions and performance specifications
Construct morphological charts to represent the space of feasible designs
Develop and compare performance metrics to make design choices
Apply useful problem-solving and decision-support tools to realistic situations

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